Pharmacogenomic landscape of COVID-19 therapies from Indian population genomes.
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ABSTRACT:
SUBMITTER: Sahana S
PROVIDER: S-EPMC8216321 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:System-wide molecular characteristics of COVID-19, especially in those patients without comorbidities, have not been fully investigated. We compared extensive molecular profiles of blood samples from 231 COVID-19 patients, ranging from asymptomatic to critically ill, importantly excluding those with any comorbidities. Amongst the major findings, asymptomatic patients were characterized by highly activated anti-virus interferon, T/natural killer (NK) cell activation, and transcriptional upregulation of inflammatory cytokine mRNAs. However, given very abundant RNA binding proteins (RBPs), these cytokine mRNAs could be effectively destabilized hence preserving normal cytokine levels. In contrast, in critically ill patients, cytokine storm due to RBPs inhibition and tryptophan metabolites accumulation contributed to T/NK cell dysfunction. A machine-learning model was constructed which accurately stratified the COVID-19 severities based on their multi-omics features. Overall, our analysis provides insights into COVID-19 pathogenesis and identifies targets for intervening in treatment.
2021-03-12 | PXD024674 | Pride
Project description:Vaccines against COVID-19 provide immunity to deter severe morbidities associated with the infection. However, it does not prevent infection altogether in all exposed individuals. Furthermore, emerging variants of SARS-CoV-2 impose a threat concerning the competency of the vaccines in combating the infection. This study aims to determine the variability in adverse events and the extent of breakthrough infections in the Indian population. A retrospective study was conducted using a pre-validated questionnaire encompassing social, demographic, general health, the status of SARS-CoV-2 infection, vaccination, associated adverse events, and breakthrough infections in the Indian population. Informed consent and ethical approval were obtained as per Indian Council of Medical Research (ICMR) guidelines. Participants, who provided the complete information, were Indian citizens, above 18 years, and if vaccinated, administered with either Covishield or Covaxin, were considered for the study. Data have been compiled in Microsoft Excel and analyzed for statistical differences using STATA 11. The responses from 2051 individuals fulfilling the inclusion criteria were analyzed. Among 2051, 1119 respondents were vaccinated and 932 respondents were non-vaccinated. Among 1119 vaccinated respondents, 7 were excluded because of missing data. Therefore, out of 1112 vaccinated, 413 experienced adverse events with a major fraction of younger individuals, age 18-40 years, getting affected (74.82%; 309/413). Furthermore, considerably more females than males encountered adverse consequences to vaccination (p < 0.05). Among vaccinated participants, breakthrough infections were observed in 7.91% (88/1112; 57.96% males and 42.04% females) with the older age group, 61 years and above (odds ratio, 3.25 [1.32-8.03]; p = 0.011), and males were found to be at higher risk. Further research is needed to find the age and sex-related factors in determining vaccine effectiveness and adverse events.
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Project description:BackgroundPoor emotion regulation is associated with post-traumatic stress symptoms (PTSS). However, limited prospective research prevents any directional conclusions. No known studies have assessed emotion regulation with PTSS in American Indians, a high-risk population for poor mental health outcomes. The present prospective study explored whether emotion regulation strategies (cognitive reappraisal, expressive suppression) predicted later PTSS related to the COVID-19 global pandemic in a solely American Indian sample.MethodsAmerican Indian participants (N = 210; Mean (SD) age = 54.85(13.08) years, 58.7% female) completed the Emotion Regulation Questionnaire (ERQ) during Phase 1 (a few weeks before pandemic declaration) and the Impact of Event Scale-Revised (IES-R) with respect to the COVID-19 pandemic during Phase 2 (7-8 weeks after pandemic declaration). Bivariate correlations and hierarchical linear regression analyses were utilized.ResultsERQ reappraisal was negatively associated with IES-R total scores, such that higher reappraisal predicted lower PTSS. In contrast, ERQ suppression was positively associated with IES-R total scores, such that higher suppression predicted higher PTSS.ConclusionsGreater suppression and lower reappraisal predicts PTSS in response to the COVID-19 pandemic in an entirely American Indian sample, providing critical information for future interventions in a population at high-risk for mental health disparities.
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